| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 32 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.865 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 987 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 44.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 987 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "tapestry" | | 1 | "pulse" | | 2 | "silence" | | 3 | "warmth" | | 4 | "shimmered" | | 5 | "pulsed" | | 6 | "unreadable" | | 7 | "race" | | 8 | "familiar" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 127 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 127 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 18 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 987 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 74 | | wordCount | 832 | | uniqueNames | 11 | | maxNameDensity | 3.49 | | worstName | "Aurora" | | maxWindowNameDensity | 5 | | worstWindowName | "Aurora" | | discoveredNames | | Moor | 1 | | Varga | 1 | | Nyx | 17 | | Aurora | 29 | | Fae-Forged | 1 | | Blade | 1 | | Isolde | 13 | | Seer | 1 | | Heartstone | 1 | | Pendant | 1 | | Rory | 8 |
| | persons | | 0 | "Varga" | | 1 | "Nyx" | | 2 | "Aurora" | | 3 | "Isolde" | | 4 | "Pendant" | | 5 | "Rory" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like copper and old rain" | | 1 | "felt like ice in her grip" | | 2 | "smelled like burnt sugar" |
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| 98.68% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.013 | | wordCount | 987 | | matches | | 0 | "not straight, but the shadow shows the way" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 14.3 | | std | 10.05 | | cv | 0.703 | | sampleLengths | | 0 | 70 | | 1 | 37 | | 2 | 18 | | 3 | 25 | | 4 | 12 | | 5 | 31 | | 6 | 14 | | 7 | 30 | | 8 | 18 | | 9 | 4 | | 10 | 12 | | 11 | 23 | | 12 | 30 | | 13 | 21 | | 14 | 11 | | 15 | 26 | | 16 | 17 | | 17 | 6 | | 18 | 17 | | 19 | 15 | | 20 | 16 | | 21 | 16 | | 22 | 13 | | 23 | 7 | | 24 | 19 | | 25 | 18 | | 26 | 15 | | 27 | 12 | | 28 | 7 | | 29 | 14 | | 30 | 6 | | 31 | 7 | | 32 | 15 | | 33 | 7 | | 34 | 15 | | 35 | 11 | | 36 | 10 | | 37 | 7 | | 38 | 7 | | 39 | 8 | | 40 | 19 | | 41 | 26 | | 42 | 11 | | 43 | 13 | | 44 | 12 | | 45 | 7 | | 46 | 18 | | 47 | 7 | | 48 | 15 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 132 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 835 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.019161676646706587 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0011976047904191617 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 7.48 | | std | 3.48 | | cv | 0.465 | | sampleLengths | | 0 | 14 | | 1 | 10 | | 2 | 16 | | 3 | 13 | | 4 | 17 | | 5 | 15 | | 6 | 8 | | 7 | 14 | | 8 | 18 | | 9 | 13 | | 10 | 12 | | 11 | 12 | | 12 | 9 | | 13 | 11 | | 14 | 3 | | 15 | 3 | | 16 | 5 | | 17 | 14 | | 18 | 6 | | 19 | 11 | | 20 | 13 | | 21 | 9 | | 22 | 9 | | 23 | 4 | | 24 | 12 | | 25 | 13 | | 26 | 10 | | 27 | 4 | | 28 | 11 | | 29 | 15 | | 30 | 7 | | 31 | 8 | | 32 | 6 | | 33 | 11 | | 34 | 9 | | 35 | 9 | | 36 | 8 | | 37 | 8 | | 38 | 9 | | 39 | 6 | | 40 | 17 | | 41 | 7 | | 42 | 8 | | 43 | 16 | | 44 | 7 | | 45 | 9 | | 46 | 6 | | 47 | 7 | | 48 | 7 | | 49 | 13 |
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| 43.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.25757575757575757 | | totalSentences | 132 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 108 | | matches | | 0 | "She lifted her chin, watching" | | 1 | "She turned back to Nyx," | | 2 | "They stepped past the first" | | 3 | "Her voice was soft, yet" | | 4 | "Her boots lifted off the" | | 5 | "They followed the Seer." | | 6 | "They slid into a narrow" | | 7 | "Her wrist scar itched as" | | 8 | "Her expression remained empty of" | | 9 | "They stepped toward the sulfur" | | 10 | "It stung their skin." | | 11 | "Her skin felt pale against" | | 12 | "Her back hit a cold" | | 13 | "It was rich, thick and" | | 14 | "Her feet made no sound." | | 15 | "Their shadow stretched across the" | | 16 | "We wait for the feast" | | 17 | "She waited for the silence." | | 18 | "Her hydration drained." | | 19 | "I feel the fear." |
| | ratio | 0.241 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 108 | | matches | | 0 | "The ground shifted from cold" | | 1 | "Aurora felt the crunch of" | | 2 | "She lifted her chin, watching" | | 3 | "Nyx drifted ahead, their silhouette" | | 4 | "Isolde Varga moved without a" | | 5 | "Rory pushed off the bark," | | 6 | "The air tasted like copper" | | 7 | "She turned back to Nyx," | | 8 | "Rory dug her thumb into" | | 9 | "Nyx materialized beside her, solid" | | 10 | "A thin layer of heat" | | 11 | "Nyx whispered, the sound like" | | 12 | "They stepped past the first" | | 13 | "The path ahead twisted into" | | 14 | "Isolde stopped ten feet ahead," | | 15 | "Her voice was soft, yet" | | 16 | "Aurora gripped the Fae-Forged Blade" | | 17 | "The moonstones in the hilt" | | 18 | "Isolde’s gaze shifted to the" | | 19 | "Isolde lifted her chin" |
| | ratio | 0.963 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 32 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 18.42% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Rory muttered (mutter)" | | 2 | "They repeated (repeat)" | | 3 | "Aurora whispered (whisper)" | | 4 | "Rory ordered (order)" |
| | dialogueSentences | 37 | | tagDensity | 0.514 | | leniency | 1 | | rawRatio | 0.263 | | effectiveRatio | 0.263 | |